Triple
T22540669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angels Hall of Fame |
E557279
|
entity |
| Predicate | hasInductee |
P1750
|
FINISHED |
| Object | Don Baylor |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Don Baylor | Statement: [Angels Hall of Fame, hasInductee, Don Baylor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Baylor Context triple: [Angels Hall of Fame, hasInductee, Don Baylor]
-
A.
Don Baylor
chosen
Don Baylor was an American Major League Baseball slugger and later manager, renowned for his power hitting, durability, and leadership on and off the field.
-
B.
Ray Roberts
Ray Roberts was a Texas politician whose public service and regional influence led to a major state reservoir, Ray Roberts Lake, being named in his honor.
-
C.
Lamar Johnson
Lamar Johnson is a Canadian actor known for roles in film and television, including his appearance in HBO's adaptation of "The Last of Us."
-
D.
Milton Jones
Milton Jones is a British stand-up comedian known for his surreal one-liners, deadpan delivery, and frequent appearances on UK panel shows like "Mock the Week."
-
E.
Dinty Moore
Dinty Moore is a long-running American canned beef stew brand known for its hearty, ready-to-eat meals.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f3196fc819098deffb0c7932ccc |
completed | April 29, 2026, 1:30 a.m. |
Created at: April 16, 2026, 8:51 p.m.